Choosing the Best Programming Language: A Historical Overview and Recommendations

Most programmers encounter multiple programming languages throughout their careers, but typically master only one. This article reviews the history of programming languages, evaluates their strengths, and suggests which languages are best to learn.

Prehistoric Stage (1950s–1980s)

In the early decades, programming languages were mainly academic research topics with limited practical use. COBOL was used for business programming, Fortran for scientific computing, and other languages served niche domains.

Professionalization (1980s–1990s)

As computer hardware proliferated, the number of languages grew. BASIC became popular among hobbyists, Pascal introduced structured programming, and C emerged from UNIX for system programming. C++ added object‑oriented features, while Visual Basic popularized visual programming on Windows.

Maturity (1990s–2000)

The rise of the Internet changed language popularity. PERL briefly became a general‑purpose language. Python transitioned from a scientific language to a simple, general‑purpose language. Java introduced the JVM, enabling "write once, run anywhere" portability.

Rapid Development (2000–2010)

JIT compilation (e.g., Java HotSpot) and .NET's CLR made language choice less critical. The number of languages exploded, and programmers began forming strong preferences, leading to debates such as functional vs. imperative paradigms.

Hyper‑Standardization (2010–present)

In the cloud era, the runtime environment often matters more than the language itself. Containers (Docker) allow components written in any language to interoperate, reducing the need to argue over language choice.

Focus on Mastering One Programming Language

While some languages excel in specific domains, most programmers can learn a new language in an afternoon and become productive quickly. Frequent switching incurs a learning cost similar to learning a new game strategy.

How to Choose a Programming Language

Key factors include applicability to the problem domain, community size, tooling, and overall quality. A language should be widely used, have strong community support, and avoid known pitfalls.

Best Programming Languages

JavaScript / TypeScript

JavaScript is the most popular, versatile language, used on the front‑end, back‑end, and as an embedded scripting language. TypeScript adds static typing and has become the default choice for new JavaScript projects.

Rust

Rust offers the power of C/C++ with safer abstractions, a strong community, and excellent tooling. It is suitable for system programming and WebAssembly.

Strong Competitors

Python

Python remains dominant in data engineering, data science, and machine learning, despite performance limitations and lack of native browser support.

Go

Go is ideal for cloud‑native development, with a simple syntax, strong ecosystem, and efficient concurrency, though it lacks the breadth of applicability of some other languages.

C# / Java

C# provides a rich ecosystem and cross‑platform capabilities; Java remains popular despite perceived shortcomings compared to C#.

C / C++

C and C++ will stay relevant for decades due to legacy code and performance needs; however, Rust is often a better modern alternative.

Honorable Mentions

Swift / Kotlin / Dart

These languages dominate mobile UI development.

LISP (Racket / Clojure)

LISP families offer powerful functional paradigms and macro systems.

Haskell / F# / Scala

Functional languages that excel in certain domains; Scala runs on the JVM.

Julia / R / MATLAB

Specialized for mathematics and scientific computing, though Python is overtaking them in data science.

PowerShell

The best choice for cross‑platform shell scripting.

Twilight Years

PHP / Ruby / PERL

These once‑popular back‑end languages are now in decline.

Visual Basic / VBA

Formerly dominant for rapid application development, now largely obsolete.

Conclusion

The author favors TypeScript as the top language for versatility, with Rust as the second choice for low‑level power. Most developers in 2022 likely share this view.

Note: The original article includes a promotional QR code for a free Python course, which has been omitted from this summary.